Implementation for multiple black box / meta model based predictors (structured data, text) #13
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Add a unit test for structured data predictor
pronics2004
approved these changes
Oct 19, 2021
There was a problem hiding this comment.
Thanks @anupamamurthi. This looks good to merge to me. Are there any more changes pending?
@jirin1a Any additional thoughts?
|
hey @pronics2004 - No, I dont think we have any changes from our side. I can merge this PR (or feel free to merge) whenever |
Ok, please go ahead and merge in that case. |
|
@pronics2004 ok, u have to merge it :) I dont seem to have write access to this repo. |
Done! Thanks! |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
In this PR, four predictors are moved from the performance predictors toolkit into UQ360.
confidence based
passthrough
short text
structured data
We are also moving a bunch of calibrators, transformers, feature implementation, utils along with the predictors.
contributors: @anupamamurthi @benjamin-elder @marnold6